Instructions to use HaywhyCoder/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HaywhyCoder/lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HaywhyCoder/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from HaywhyCoder/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/HaywhyCoder/lora_model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://HaywhyCoder/lora_model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/HaywhyCoder/lora_model/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- fc2c2ebe0b036b95f479ea8022962d28bc4bedbdae263631bbd42e4ae504b495
- Size of remote file:
- 168 MB
- SHA256:
- 9b5d058199cb0317d8ad885f98c41c98db74a7f0e88070474eb3d064579171d0
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